Page 314 - The Design Thinking Playbook

KEY LEARNINGS

Hybrid models—
combination of data analytics

and design thinking

• Take advantage of the technological possibilities of big data analytics and machine learning in order to be innovative in a more
agile way.
• Define a problem statement in conjunction with the new contingent of data scientists.
• Observe people and data and draw conclusions in common.
• Accept that deep learnings can also come from data.
• Establish a common design process and make clear what should be done in what phase.
• Develop a common mindset to establish a hybrid model successfully.
• Work on mixed teams. Take data analytics experts on the team.
• Accept solutions and prototypes based on data.
• Be open to innovations that are more data-centric than human-centric.
• Win over top management for a hybrid model or start bottom-up with a pilot project.
• Use alternating mindsets and combine design thinking, systems thinking, and data analytics as the supreme discipline.

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